Probability and Statistics

Probability and Statistics is a research area within which you can focus your studies as part of our suite of Mathematics research programmes (MPhil, PhD).

The following specialisations are available within this research area:

  • Multivariate statistical analysis
  • Time series analysis
  • Statistical modelling in market research
  • Optimal experimental design
  • Stochastic global optimisation
  • Change point detection
  • Probabilistic methods in search and number theory
  • Fisheries
  • Medical statistics
  • Random fields
  • Mathematical finance.


Academic contact(s)

Photograph of Dr Jonathan Gillard

Dr Jonathan Gillard

Senior Lecturer in Statistics / Director of Admissions

+44 (0)29 2087 0619

Design of experiments in regression models with correlated observations

This project is interdisciplinary in nature and will include elements of theoretical probability and applied statistics.

Unsupervised Dimension Reduction methods for non-Gaussian High‐Dimensional Datasets

This project will extend the work currently being done in our research group for dimension reduction in the exponential families.

Statistical Inference for Entropy, Divergences and Renyl Information

One of the main aims of the project is to develop an asymptotic theory of the nearest neighbour estimates of Shannon and Rényi information.

Machine Learning and Dimension Reduction Methods for High-Dimensional Datasets

This is a fully-funded EPSRC project in mathematics.

Low rank approximations of matrices with a focus on statistical applications

This project will investigate the structured low-rank approximation (SLRA) problem.

Modelling of sporting events using artificial intelligence and statistical methods for big data

This project aims at systematizing and comparing different models and applying them for predicting outcomes of different sporting events

Micro- and nano-scale statistical properties of rough engineering surfaces and their tribological properties

This project will create databases of surface roughness of various engineering surfaces at different scales: atomic, nano- and micro-scales.


There are currently no funding opportunities available.

Tuition fees

UK and EU students

Get the latest information on postgraduate fees.

Students from outside the EU

Get the latest information on postgraduate fees.

Programme information

For programme structure, entry requirements and how to apply, visit the Mathematics programme.

View programme
Meet us at our Information Fair on 22 February 2018.

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